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NEW QUESTION 33

A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.

How can a dataflow be used to calculate the average time an opportunity spends in each stage?

  • A. computeRelative Transformation with offset parameter to calculate the duration
  • B. flatten Transformation with Offset Expressions to calculate the duration
  • C. computeRelative Transformation with SAQL Expression to calculate the duration
  • D. computeExpression Transformation with SAQL Expression to calculate the duration

Answer: C

Explanation:

Reference:

https://help.salesforce.com/articleView?id=bi_integrate_computeRelative_transformation_operation.htm

NEW QUESTION 34

What's the magic of faceting?

  • A. It turns the dataflow on and off.
  • B. It binds charts together so that selecting something in one chart filters other charts by that choice.
  • C. It creates a chart that shows all the faces of your data in a diamond chart.
  • D. It shifts the time period of the chart you're viewing.

Answer: B

NEW QUESTION 35

The client asks an Einstein Consultant to build a dashboard with a chart that shows revenue and quantity of units sold. Which type of Combo Chart can the consultant use?

  • A. Line over Scatter Plot
  • B. Grid over Bar
  • C. Line over Stacked Bar
  • D. Line over Bar

Answer: D

NEW QUESTION 36

What are the 3 basic actions within a query in Analytics? Choose 3:

  • A. Aggregate by a measure
  • B. Display the results graphically
  • C. Count rows by measure you want to visualize.
  • D. Filter to narrow down your results.
  • E. Grouping by a dimesnsion

Answer: A,D,E

NEW QUESTION 37

In Einstein Discovery:

  • A. 'Predictions and Improvements' insights help you explore what might happen in the future. For example, you can interactively perform "what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses:

    - waterfall charts for predictions

    - bar charts for suggested improvements
  • B. 'What Happened' insights are the primary insights in your story. They are descriptive insights that help you explore, at an y/ Q overview level, what factors contributed to the outcome, based on a statistical analysis of your dataset. .Einstein Discovery uses bar charts to help you visualize What Happened insights.
  • C. 'What Is The Difference' insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.
  • D. 'Why It Happened' insights help you take a deeper look into the exact factors that led to an outcome. Why It Happened s/ Q insights drill deeper into the various factors that contributed to your story's goal. These insights are based on a statistical analysis of your dataset. Einstein Discovery uses waterfall charts to help you visualize Why It Happened insights.

Answer: A,B,C

NEW QUESTION 38

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